mongodb-query

To query a MongoDB notes store for memory analysis, you can retrieve specific notes, generate counts, and analyze distributions based on recency, importance, or section using this Skill.

Yes, you can generate statistics on note importance and access patterns in MongoDB by querying the notes collection to obtain counts and distributions of the stored metadata.

To retrieve specific notes, you need a connection to a MongoDB instance containing a 'qq_memory' database with a 'notes' collection, along with pymongo installed.

Yes, the query tool works with embeddings stored in MongoDB by investigating the contents of notes, including text, embeddings, and metadata within the notes collection.

The best way to count documents in a MongoDB notes collection is to use the query Skill to apply statistical analysis directly to the 'notes' collection within the 'qq_memory' database.

You can fetch the most important recent notes from a MongoDB database by setting query criteria for recency and importance to retrieve targeted sets of notes from the store.